Accurate Prediction of Streaming Video Traffic in TCP/IP Networks using DPI and Deep Learning. - Waqar Ali Aziz; Hassaan Khaliq Qureshi; Adnan Iqbal; Marios Lestas (IWCMC, 2020)

On the Use of Programmable Metasurfaces in Vehicular Networks. - Taqwa Saeed; Waqar Ali Aziz; Andreas Pitsillides; Vasos Vassiliou; Ian F. Akyildiz; Hamidreza Taghvaee; Sergi Abadal; Christos Liaskos; Ageliki Tsioliaridou; Sotiris Ioannidis; Ehizogie Emoyon-Iredia; Marios Lestas (SPAWC, 2021)

Towards Accurate Categorization of Network IP Traffic Using Deep Packet Inspection and Machine Learning. - Waqar Ali Aziz; Hassaan Khaliq Qureshi; Adnan Iqbal; Anwer Al-Dulaimi; Saba Al-Rubaye (GLOBECOM, 2023)

Dual-Step Transfer Learning-Based Prediction Model for Next-Generation Intelligent Cellular Networks. - Waqar Ali Aziz; Iacovos Ioannou; Marios Lestas; Vasos Vassiliou (ICC Workshops, 2023)

Content-Aware Network Traffic Prediction Framework for Quality of Service-Aware Dynamic Network Resource Management. - Waqar Ali Aziz; Iacovos Ioannou; Marios Lestas; Hassaan Khaliq Qureshi; Adnan Iqbal; Vasos Vassiliou (IEEE Access, 2023)

Enhancing Edge Caching Efficiency: Leveraging Social and Context-Aware Popularity Rank Prediction via Transfer Learning. - Waqar Ali Aziz; Iacovos Ioannou; Marios Lestas; Vasos Vassiliou (ICT, 2024)

DeepRISBeam: Deep Learning-Based RIS Beam Management for Radio Channel Optimization. - Iacovos Ioannou; Marios Raspopoulos; Prabagarane Nagaradjane; Christophoros Christophorou; Waqar Ali Aziz; Vasos Vassiliou; Andreas Pitsillides (IEEE Access, 2024)

DSTL: A Dual-Step Transfer Learning-Based Prediction Model for Next-Generation Intelligent Cellular Networks. - Waqar Ali Aziz; Iacovos Ioannou; Marios Lestas; Vasos Vassiliou (Intell. Converged Networks, 2025)